Triple

T9853764
Position Surface form Disambiguated ID Type / Status
Subject Haas E239533 entity
Predicate hasVariant P455 FINISHED
Object Haase
Haase is a surname of German origin commonly borne by individuals in German-speaking countries and their descendants.
E827116 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haase | Statement: [Haas, hasVariant, Haase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haase
Context triple: [Haas, hasVariant, Haase]
  • A. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • B. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • C. Baar-Ebenhausen
    Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
  • D. Haibach
    Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
  • E. Horst
    Horst is a tough, intimidating sous-chef in the animated film "Ratatouille," known for his mysterious and often contradictory criminal backstories.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haase
Triple: [Haas, hasVariant, Haase]
Generated description
Haase is a surname of German origin commonly borne by individuals in German-speaking countries and their descendants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haase
Target entity description: Haase is a surname of German origin commonly borne by individuals in German-speaking countries and their descendants.
  • A. Haselbach
    Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
  • B. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • C. Baar-Ebenhausen
    Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
  • D. Haibach
    Haibach is a small municipality located within the Straubing-Bogen district in the state of Bavaria, Germany.
  • E. Horst
    Horst is a tough, intimidating sous-chef in the animated film "Ratatouille," known for his mysterious and often contradictory criminal backstories.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4349a50819084ee1fcd067a082b completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e85570c08190b728c7420cb209c1 completed April 5, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69d1e8a411048190952eb859b67464c4 completed April 5, 2026, 4:44 a.m.
Created at: March 30, 2026, 8:34 p.m.